Clustering of Variables Around Latent Variables

Functions for the clustering of variables around Latent Variables. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable. External variables measured on the same observations or/and additional information on the variables can be taken into account. A "noise" cluster or sparse latent variables can also de defined.


Reference manual

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1.5.1 by Evelyne Vigneau, a year ago

Browse source code at

Authors: Evelyne Vigneau [aut, cre], Mingkun Chen [ctb]

Documentation:   PDF Manual  

Task views: Psychometric Models and Methods

GPL-2 license

Imports Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp

See at CRAN